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Absorbance ratio optimization as a function of TiO₂-POE nanolubricant spectrophotometric wavelength using the quadratic design on one factor at a time

conference contribution
posted on 2024-05-27, 09:44 authored by A Nugroho, R Mamat, Z Bo, WA Wan Hamzah, Talal YusafTalal Yusaf, MF Ghazali, F Khoerunnisa
Errors in the UV visible spectrophotometry analysis’ selection of spectral peaks can lead to errors in the nanolubricant stability analysis. Despite the fact that the spectral peak results are compared at the same peak, it is critical to identify the correct spectral to avoid errors in the nanolubricant stability analysis results. In this study, one factor at a time (OFAT) based on surface response was adopted to determine the effect of wavelength selection on the absorbance ratio of TiO2-POE nanolubricant. The TiO2-POE sample was prepared using a two-steps approach. The sample was ultrasonicated for 100 min using a homogenizer. UV visible spectrophotometry analysis was performed on day 1 and 15 to determine the absorbance ratio. Sixteen runs were performed using a quadratic design to acquire experimental data were fitted. The ANOVA analysis discovered that the experimental statistics were well suited to the polynomial model, with an R2 value of 0.9970 and a model F-value of 2154.24. The findings suggest that the optimum wavelength is 500 nm with an absorbance value of 0.901239 and a desirability level of 1.0.

History

Editor

Johari NH; Azmi WHW; Ghazali MF; Dina Setiabudi H; Kumarasamy S

Volume

Lecture Notes in Mechanical Engineering

Start Page

193

End Page

204

Number of Pages

12

Start Date

2021-11-03

Finish Date

2021-11-05

eISSN

2195-4364

ISSN

2195-4356

ISBN-13

9789811944246

Location

Virtual

Publisher

Springer

Place of Publication

Singapore

Peer Reviewed

  • Yes

Open Access

  • No

Era Eligible

  • Yes

Name of Conference

2nd Energy Security and Chemical Engineering Congress

Parent Title

Proceedings of the 2nd Energy Security and Chemical Engineering Congress: Selected Articles from ESChE 2021, Malaysia

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